{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "from duke_dbt_data import dcmread_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"/data/file-paths-train.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "view_series = df.iloc[0]\n",
    "view = view_series[\"View\"]\n",
    "# if you have image data saved in classic path folder structure, read the file path from \"classic_path\"\n",
    "# image_path = os.path.join(\"/data\", view_series[\"classic_path\"])\n",
    "image_path = os.path.join(\"/data\", view_series[\"descriptive_path\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.8/site-packages/openjpeg/utils.py:189: UserWarning: The (0028,0101) Bits Stored value '10' in the dataset does not match the component precision value '16' found in the JPEG 2000 data. It's recommended that you change the Bits Stored value to produce the correct output\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 14.4 s, sys: 894 ms, total: 15.3 s\n",
      "Wall time: 15.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "image = dcmread_image(fp=image_path, view=view)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(image[0], cmap=plt.cm.gray);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
